class: center, middle, inverse, title-slide # SIVOCS | Preliminary Results of the Survey Analysis ### --- <style> .center2 { margin: 0; position: absolute; top: 50%; left: 50%; -ms-transform: translate(-50%, -50%); transform: translate(-50%, -50%); } .large { font-size: 130% } .small { font-size: 70% } .remark-slide-content.hljs-default { border-top: 60px solid #23373B; } .remark-slide-content > h1 { font-size: 30px; margin-top: -75px; } </style> # Respondents Table with respondent metadata --- # Sample Bias .pull-left[ <img src="data:image/png;base64,#./table_2.png" width="100%" /> <br> <br> * Slight bias toward female participants * Slight bias toward SSH and Natural Sciences ] .pull-right[ <img src="data:image/png;base64,#../sample_respondent.svg" width="200%" /> ] --- # Familiarity with SI and Transdisciplinarity <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-6-1.png" width="1152" style="display: block; margin: auto;" /> --- # Distribution of familiarity with SI among sci. domains <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-9-1.png" width="1152" /> --- # Motivation Types <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-10-1.png" width="1008" /> * Relatively consistent results between different sci. domains., slightly lower percentage of motivation to impove human condition among Mathematics, Natural & Engineering Sciences. --- # Intention & Agency .pull-left[ ##### Have you deliberately designed your project so that it might generate an immediate and intended benefit for the general population or a specific non-academic target group? <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-13-1.png" width="504" /> ] .pull-right[ ##### Was there an impulse from the non-academic world that motivated you to start the project, namely ... <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-14-1.png" width="504" /> ] --- # Transdisciplinary Aspects: Inter-/Transdisciplinary Involvement <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-15-1.png" width="1008" /> --- # Transdisciplinary Aspects: Nature of Involvement <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-18-1.png" width="1008" /> --- # Transdisciplinary Aspects: Target Group Goals ##### Please indicate whether the following statements fit your project: Your project has... <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-19-1.png" width="1008" /> --- # Regulatory Framework: Open Science/Data Concepts <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-20-1.png" width="1008" /> --- # Regulatory Framework: Gender Dimension & Support for Policy-Making .pull-left[ ##### Did your project consider the sex or gender dimension explicitly in your research? <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-21-1.png" width="504" /> ] .pull-right[ ##### Did your project aim at supporting evidence-based decision-making of policy-makers? <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-22-1.png" width="504" /> ] --- # Outcome-orientation: Impact Target Group <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-23-1.png" width="1152" /> --- # Outcome-orientation: Outcome Intention ##### What kind of change (short- or long-term) did your project intend to bring about in the following target groups or in the general population? <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-26-1.png" width="504" /> --- # Outcome-orientation: Uptake .pull-left[ ##### From your perspective, to what extent were project results taken up by policy-making and/or public administration and/or governmental agencies? <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-27-1.png" width="504" /> ] .pull-right[ ##### In what way were those results taken up by policy-making and/or public administration and/or governmental agencies? ] --- # Outcome-orientation: Impact Statements <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-29-1.png" width="1152" /> --- # Dissemination and Exploitation: Dissemination Channels <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-30-1.png" width="504" /> --- # Dissemination and Exploitation: Scalability <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-31-1.png" width="1152" /> --- # Correlation Matrix, Impact Assessment vs. Motivation .small[**mot.**: When you designed your project, to what degree were you motivated to… **impactGr.**: To what degree has your project directly contributed to new or better services, products, processes, or ways of doing things that were targeted towards ...] .pull-left[ <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-32-1.png" width="504" /> ] .pull-right[ * Motivation to *understand a natural, technical, economic, or social phenomenon better* and *directly address a natural, technical, economic, or social problem* do not correlate well with *direct contribution to new or better services, products, processes, or ways of doing things* of the project. * Motivation to *improve human condition* shows stat. significant correlations with almost all of the impact statements other than solely academic contribution. * Strongest positive correlation is between *the benefit to general population* and *motivation to improve human condition* (0.5). ] --- # Familiarity with SI and Transdisciplinarity vs Impact Assessment, Correlation Matrix .small[**involv.**: In your research processes, did you actively involve one or more of the following groups(*)? **policy.uptake**: From your perspective, to what extent were project results taken up by policy-making and/or public administration and/or governmental agencies? **scalability**: How would you assess in the long term the scalability of the results generated by your project? ] .pull-left[ <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-33-1.png" width="504" /> ] .pull-right[ * There is almost no stat. significant correlations between up-, out-scalability and inter-/transdisciplinary involvement. * Deep-scalability correlates with several of the trans-/disciplinary involvement with the highest being the involvement of citizens (0.4). * Policy uptake also correlates relatively strongly with transdisciplinary involvement in the project, especially when policymakers and civil society organisations involved. ] --- # Motivation Types vs Trans-, Interdisciplinary Involvement, Correlation Matrix .small[ **involv.**: In your research processes, did you actively involve one or more of the following groups(*)? **mot.**: When you designed your project, to what degree were you motivated to… ] .pull-left[ <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-34-1.png" width="504" /> ] .pull-right[ * Motivation to *understand a natural, technical, economic, or social phenomenon better* and *directly address a natural, technical, economic, or social problem* do not necessarily correlate with inter-/transdisciplinary involvements. * Although weakly, motivation to improve human condition/welfare correlates with all of the inter-/transdisciplinary involvements with the strongest ones being *civil society* and *civil society* organisations. ] --- # Transdisciplinary Experience vs. Contribution to SI by Sciencetific Domains <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-35-1.png" width="1152" /> --- # Scaleability vs. Transdisciplinarity by Scientific Domains <img src="data:image/png;base64,#14_SNF_presentation_files/figure-html/unnamed-chunk-36-1.png" width="1152" /> --- # Currently in the Works * statistical tests * non-parametric (@utku: 2-3 beispiele einfügen?) * factor analysis (@utku: 1 bespiel einfügen, z.b. outcomes/impact?) --- --- # Outlook & next steps * build a statistical models to predict "degree" of SI * compile analytical results of survey into a report (part of the final report) * ideally: test with more quantitative data * publish results in scientific journal